Abstract
Despite much progress in adaptive training, the data driving adaptations are largely local and temporary. Significant enhancements to adaptive training are achievable given a more comprehensive picture of the competencies being trained and current and correct learner profiles. In this paper we present an approach to creating a human performance data layer that offers a foundation to enhance adaptive training. We describe multiple recent projects for the U.S. Navy that are converging on tools to support a lifecycle management approach for human performance data. By creating a digital thread of competencies and applying techniques that map performance data to corresponding competencies, these tools can provide a rich array of analytics to training managers, workforce planners, and line supervisors.
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Ray, F., Bell, B., Robson, E. (2023). Human Performance Data Lifecycle Management as a Foundation for Adaptive Training. In: Sottilare, R.A., Schwarz, J. (eds) Adaptive Instructional Systems. HCII 2023. Lecture Notes in Computer Science, vol 14044. Springer, Cham. https://doi.org/10.1007/978-3-031-34735-1_4
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DOI: https://doi.org/10.1007/978-3-031-34735-1_4
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